2018 - Fellow, National Academy of Inventors
2017 - Fellow of the American Academy of Arts and Sciences
2010 - Fellow of the American Society of Mechanical Engineers
2006 - Member of the National Academy of Engineering For contributions to design and sensor-based control in robotic systems for the assembly of high-precision electronics and for leadership in engineering education.
2004 - Fellow of the American Association for the Advancement of Science (AAAS)
2003 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to automated modeling, reconfiguration, and design of robotic and real-time software systems, and for encouraging the field through professional leadership.
1995 - IEEE Fellow For contributions to reconfigureable manipulators and reconfigurable software for sensor-based control, and for leadership in curriculum development.
Fellow of the Indian National Academy of Engineering (INAE)
Pradeep K. Khosla mainly investigates Artificial intelligence, Control theory, Computer vision, Robot and Robotics. Pradeep K. Khosla combines subjects such as Control engineering, Control theory and Metric with his study of Artificial intelligence. His work carried out in the field of Control theory brings together such families of science as Kinematics, Robot control and Accelerometer.
Pradeep K. Khosla has researched Computer vision in several fields, including Active compensation, Adaptive control and Pattern recognition. His Robot research includes elements of Software modules, The Internet, Software engineering and Position. His studies deal with areas such as Control system, Manipulator, Intelligent control and Simulation as well as Robotics.
Pradeep K. Khosla mainly focuses on Artificial intelligence, Robot, Computer vision, Control theory and Control engineering. The study incorporates disciplines such as Task and Human–computer interaction in addition to Artificial intelligence. His Robot study frequently links to other fields, such as Simulation.
His research in Computer vision intersects with topics in Control system and Adaptive control. His Control engineering study incorporates themes from Parallel manipulator, Kinematics, Control, Modular design and Feedback loop. His Modular design research integrates issues from Control reconfiguration, Embedded system and Self-reconfiguring modular robot.
Pradeep K. Khosla spends much of his time researching Artificial intelligence, Wireless sensor network, Robot, Computer vision and Mathematical optimization. His primary area of study in Artificial intelligence is in the field of Cognitive neuroscience of visual object recognition. His Wireless sensor network research incorporates elements of Encoder, Upper and lower bounds and Channel capacity.
Pradeep K. Khosla works in the field of Robot, focusing on Mobile robot in particular. His work investigates the relationship between Computer vision and topics such as Kalman filter that intersect with problems in Circular motion, Kinematics, Parallel manipulator, Teleoperation and Redundancy. His Mathematical optimization research is multidisciplinary, relying on both Sampling, Motion planning and Markov chain.
His primary scientific interests are in Artificial intelligence, Computer vision, Robot, Control theory and Wireless sensor network. His biological study spans a wide range of topics, including Interface and Task. The concepts of his Computer vision study are interwoven with issues in Kalman filter and Pattern recognition.
His work on Motion planning as part of general Robot study is frequently connected to Gaussian process, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. His research integrates issues of Noise, Piezoelectricity, Scale factor and Accelerometer in his study of Control theory. His Wireless sensor network research focuses on Embedded system and how it relates to Computer virus and Code.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
SWATT: softWare-based attestation for embedded devices
A. Seshadri;A. Perrig;L. van Doorn;P. Khosla.
ieee symposium on security and privacy (2004)
Real-time obstacle avoidance using harmonic potential functions
J.-O. Kim;P.K. Khosla.
international conference on robotics and automation (1991)
Visual tracking of a moving target by a camera mounted on a robot: a combination of control and vision
N.P. Papanikolopoulos;P.K. Khosla;T. Kanade.
international conference on robotics and automation (1993)
SORI: a secure and objective reputation-based incentive scheme for ad-hoc networks
Qi He;Dapeng Wu;P. Khosla.
wireless communications and networking conference (2004)
Pioneer: verifying code integrity and enforcing untampered code execution on legacy systems
Arvind Seshadri;Mark Luk;Elaine Shi;Adrian Perrig.
symposium on operating systems principles (2005)
Parameter identification of robot dynamics
Pradeep Khosla;Takeo Kanade.
conference on decision and control (1985)
Design of dynamically reconfigurable real-time software using port-based objects
D.B. Stewart;R.A. Volpe;P.K. Khosla.
IEEE Transactions on Software Engineering (1997)
Electronic textiles: a platform for pervasive computing
D. Marculescu;R. Marculescu;N.H. Zamora;P. Stanley-Marbell.
Proceedings of the IEEE (2003)
Cancelable biometric filters for face recognition
M. Savvides;B.V.K. Vijaya Kumar;P.K. Khosla.
international conference on pattern recognition (2004)
Adaptive robotic visual tracking: theory and experiments
N.P. Papanikolopoulos;P.K. Khosla.
IEEE Transactions on Automatic Control (1993)
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